Automated Error Correction tool for POS tags of Hindi Data
MT-NLP Lab at the International Institute of Information Technology
Built an Automated Error Correction tool for POS tags of Hindi Data, in order to ensure that higher quality data is available for use. Hindi is one of the most widely spoken languages in India. Achieved an accuracy of 94.02% with a Neural Network that employed the probabilistic predictions of Support Vector Machines, Long Short Term Memory Networks, and Conditional Random Fields to make its predictions. Published a paper on the same at PACLIC 2018 and presented the paper at Hong Kong.